无人机集群编队自组网可靠性评估
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作者单位:

1. 西安电子科技大学 数学与统计学院,西安 710071;2. 西安电子科技大学 计算机学院,西安 710071

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通讯作者:

E-mail: xgqi@xidian.edu.cn.

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V249

基金项目:

部委级技术基础项目(212ZQT42004).


Reliability evaluation of ad hoc network for UAV swarm formation
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Affiliation:

1. School of Mathematics and Statistics,Xidian University,Xián 710071,China;2. School of Computer Science and Technology,Xidian University,Xián 710071,China

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    摘要:

    针对无人机集群编队自组网的可靠性评估问题,考虑无人机集群编队在执行任务时对信息交互的时效性需求,提出一种自组网可靠性评估方案.首先,分析消息传输的可用时间;其次,通过排队论建立消息传输延迟模型以计算消息传输所需时间;然后,以消息传输所需时间小于可用时间的概率作为评估指标建立消息传输可靠性计算模型,进而为无人机集群编队提供一个动态可靠性评估框架以适应集群编队体系配置和环境变化的随机性与时变特性;最后,仿真分析在不同传输任务需求下,编队构型、无人机数量、编队缩放因子、传输速率、信息交互强度以及环境干扰对消息传输可靠性的影响.仿真结果可以为集群编队的队形设计以及集群编队的体系配置提供一定参考依据.

    Abstract:

    For the reliability evaluation of the ad hoc network of the UAV swarm formation, we consider the timeliness requirement of information interaction for UAV swarm formation to perform tasks, and propose a reliability evaluation scheme of the ad hoc network. Firstly, the message is analyzed. Secondly, a message transmission delay model is established using the queuing theory to calculate the time required for message transmission. Then, a message transmission reliability calculation model is established with the probability that the required time for message transmission is less than the available time as an evaluation index. Furthermore, a dynamic reliability evaluation framework is provided for UAV swarm formation to adapt to the randomness and time-varying characteristics of swarm formation system configuration and environmental changes. Finally, under different transmission task requirements, the influence of formation configuration, number of UAVs, formation scaling factor, transmission rate, network load and information interaction strength on the reliability of message transmission is simulated and analyzed. The simulation results can provide a certain reference for the formation design and the system configuration of the swarm formation.

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齐小刚,吴相远,刘立芳.无人机集群编队自组网可靠性评估[J].控制与决策,2024,39(2):689-696

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  • 在线发布日期: 2024-01-18
  • 出版日期: 2024-02-20
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